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Software Modeling is a scientific discipline for studying forms of software modeling that are used as part of the software development stages in a structured and object-oriented manner. This software engineering modeling is presented in Requirements Analysis and described using the Unified Modeling Language (UML) method. UML (Unified Modeling Language) is a visual modeling method used as a means of designing object-oriented systems. UML diagrams that are often used are Use Case Diagrams, Activity Diagrams, Sequence Diagrams, Class Diagrams, Statemachine Diagrams and Component Diagrams. There are several applications that support UML creation, one of which is Draw.io. Draw.io is a website specifically designed for depicting UML diagrams online. It has a very responsive display and is integrated with Google's file storage service, namely Google Drive, so draw.io is an alternative for creating UML diagrams in a shorter time. On this basis, in the Community Service (PkM) program activities on this occasion, UML creation activities were carried out using the draw.io application and assistance in using UML in analyzing needs is one of the right solutions for solving problems in order to expand knowledge, simplify and improve the quality of education. and will overcome problems, time and socio-economic

This study aims to analyze the effect of Corporate Social Responsibility (CSR) disclosure, Environmental Costs, and Company Size on the Financial Performance of mining sub-sector manufacturing companies listed on the Indonesia Stock Exchange. In this study using the type of quantitative data with the acquisition of secondary data derived from financial statements. Sampling using Purposive Sampling technique with 32 samples in this study. The method used in this study adopts the Partial Least Squares Structural Equation Modeling (PLS-SEM) method to analyze the relationship between CSR disclosure, Environmental Costs and Company Size. The results of this study indicate that Corporate Social Responsibility (CSR) has a positive but insignificant effect on financial performance. While Environmental Costs and Company Size have a negative and significant effect on Financial Performance.

This research examines the employees of UKM Batik Lasem Sekar Mulyo, Rembang. This research aims to determine the influence of the role of core self-evaluation and empowering leadership on employee creativity through knowledge sharing. The research method in this research is a quantitative research method. The population in this study were all employees with a total of 95 employees who worked at UKM Batik Lasem Sekar Mulyo, Rembang, while the sample in this study was 95 respondents. Determining the sample size used a non-probability sampling technique because the population was relatively small, so the technique taken was saturated sampling (census). Data analysis in this research used the SmartPLS version 3 program. The data analysis technique used was the Structural Equation Modeling (SEM) equation model. The results of the analysis and discussion show that the quality perception variable influences Core Self-Evaluation and influences Employee Creativity, Empowering Leadership influences Employee Creativity, Core Self-Evaluation influences Knowledge Sharing, Empowering Leadership influences Knowledge Sharing, Knowledge sharing influences Employee Creativity, Core Self-Evaluation has an effect on Employee Creativity, partially mediated by Knowledge sharing, and Empowering Leadership has an effect on Employee Creativity in Employees of UKM Batik Lasem Sekar Mulyo, Rembang, which is partially mediated by Knowledge sharing.

This study explores the application of stochastic differential equations (SDEs) in modeling population dynamics. By introducing randomness into differential equations, we capture the inherent uncertainties in environmental and genetic factors affecting population growth. We derive analytical solutions for specific cases and provide numerical simulations to demonstrate how SDEs enhance predictions in ecological modeling. Our findings suggest that stochastic models provide a more robust framework for understanding population fluctuations in uncertain environments.

This paper introduces a hybrid optimization approach that combines genetic algorithms with gradient descent for effective nonlinear function approximation in highdimensional data. Traditional methods struggle with computational efficiency and accuracy in such complex spaces. By integrating genetic algorithms to provide a global search strategy with gradient descent for finetuning, the proposed method achieves faster convergence and improved accuracy. Simulations and case studies demonstrate its effectiveness in applications like data mining, image recognition, and financial modeling.

This paper compares various machine learning models in their ability to predict financial trends, with a focus on time-series analysis. We evaluate models such as linear regression, decision trees, support vector machines, and deep learning, measuring their performance based on accuracy, computational cost, and interpretability. Our results reveal that deep learning models offer superior accuracy but are less interpretable, while simpler models, though less accurate, provide better insight into the underlying data. This research provides guidelines for selecting suitable models based on specific financial applications.

Web novels have gained popularity in recent years as a form of literature that is published and consumed online via specialized platforms. User generated comments and reviews play an important role in the web novel platform, providing valuable insight into reader sentiment and feedback. Manually analyzing sentiment from a large number ofcomments would be very time consuming, an efficient automated approach was required. This study uses the Latent Dirichlet Allocation (LDA) method to identify sentiment patterns (positive, negative, neutral) in user comments on web novels and analyze their distribution as a whole. LDA, originally designed for topic modeling, has proven effective in sentiment analysis, helping to group comments into relevant topics and uncover general sentiments related to each topic. This study aims to use the LDA method to identify sentiment patterns (positive, negative, or neutral) in user comments on web novels and analyze the distribution of sentiment as a whole. The results show the effectiveness of LDA in sentiment analysis, achieving quite good results, with 72% accuracy, 80% precision, 72% recall, and 65% F1 score.

This research aims to determine and try to analyze the influence of discipline and cooperation on work productivity with job satisfaction as an intervening variable at PT. Wilmar Nabati Padang. This research is a Structural Equation Modeling (SEM) model with the SmartPLS 3.0 analysis tool. The population and sample of this research are employees of PT. Wilmar Nabati Padang. The research results found that there is an influence between discipline and job satisfaction. There is an influence between Collaboration on Job Satisfaction. There is an influence between discipline and work productivity. There is no influence between Collaboration on Work Productivity. There is an influence between Job Satisfaction and Work Productivity. Job Satisfaction mediates Discipline on Work Productivity. Job Satisfaction mediates Collaboration on Work Productivity.

This study was conducted to evaluate the effectiveness of brand image in mediating the impact of word of mouth (WOM) on the desire to purchase Mie Sedaap Korean Spicy Chicken products in the Tangerang City area. Through a survey involving 200 individuals selected based on purposive sampling, this research utilized the Partial Least Squares Structural Equation Modeling (PLS-SEM) model to process and analyze the data obtained. The results found indicate a positive impact of WOM on brand image and purchase intention, with brand image also functioning as a significant mediator in linking WOM with purchase intention. The conclusion of these findings underscores the need for effective marketing strategies in utilizing WOM to strengthen brand image, which in turn has the potential to increase purchase intentions among consumers.

The purpose of this research is to determine the effect of referral marketing and corporate trust icons on radical customers through customer satisfaction at Mie Barracung. This study employs a descriptive research design with explanatory research methods. Sampling was conducted using purposive sampling as the sampling technique. The sample used in this study consists of 100 respondents who are customers of Mie Barracung Manukan Surabaya. This research utilizes a structural equation modeling (SEM) approach - SmartPLS 4.0.9.3, which includes the inner model process, outer model, and hypothesis testing (bootstrapping) to test the significance of the overall model and the predetermined paths. The findings indicate that referral marketing has a direct effect on customer satisfaction at Mie Barracung Manukan Surabaya..Trust icon corporate directly does not affect radical customers at Baraccung noodles Manukan Surabaya. Customer satisfaction directly affects radical customers at Baraccung noodles Manukan Surabaya. Referral marketing indirectly affects radical customers through customer satisfaction at Baraccung noodles Manukan Surabaya. Trust icon corporate indirectly does not affect radical customers through customer satisfaction at Baraccung noodles Manukan Surabaya.

This study explores the relationship between digital literacy and student engagement in language education. With the increasing integration of technology in modern education, digital literacy has become a fundamental skill, influencing various aspects of academic participation. The research employs a correlational design and utilizes Structural Equation Modeling (SEM) to analyze the impact of digital literacy on cognitive, behavioral, and emotional engagement in language learning. The findings suggest that students with higher levels of digital literacy demonstrate greater cognitive engagement, including improved critical thinking and problem-solving abilities. Additionally, digital literacy was found to positively influence behavioral engagement, such as increased participation, effort, and persistence in learning tasks. Furthermore, emotional engagement, measured by students' enjoyment, interest, and sense of belonging, was strongly associated with digital literacy. This study highlights the critical role of digital literacy in fostering deeper engagement and improving overall learning outcomes in language education. Implications for practice include the integration of digital literacy skills into language curricula, with educators encouraged to incorporate digital tools to enhance engagement. The study also calls for further research to examine the long-term effects of digital literacy on academic performance and to explore the potential disparities in digital literacy levels across different student populations. As educational technology continues to evolve, understanding its impact on student engagement remains essential for developing effective teaching practices that meet the needs of contemporary learners.

This research aims to analyze the influence of promotions and customer experience on purchasing decisions with ratings as an intervening variable among Lazada marketplace users among BP 22 UPI "YPTK" Padang management students. The method used is Structural Equation Modeling (SEM) with SmartPLS based on data collected through questionnaires from 100 respondents. The research results show that a). promotion has a positive and significant effect on ratings, b). customer experience has a positive and significant effect on ratings, c). Promotion has a positive and insignificant effect on purchasing decisions. d). customer experience has a positive and significant effect on purchasing decisions, e). ratings have a positive and significant effect on purchasing decisions, f) ratings are able to mediate the relationship between promotions and purchasing decisions. g) ratings are able to mediate the relationship between customer experience and purchasing decisions..

Performance at the PUPR District Office Tanah Datar has not reached the target for 4 years. This study aims to examine the Effect of Placement and Work Environment on Employee Performance with Job Satisfaction as an Intervening Variable using secondary data obtained by distributing questionnaires to 50r6 permanent employees who are used as respondents at the PUPR DINAS Office of Tanah Datar Regency. In this study using the analysis tool Structural Equation Modeling (SEM) using Partial Least Square (PLS). The results of this study indicate that (1) Placement has a positive and significant effect (0.000 <0.05) on job satisfaction. (2) Work environment has a positive and significant effect (0.000 <0.05) on job satisfaction. (3) Placement has a positive and significant effect (0.027 > 0.05) on Employee Performance. (4) Work Environment has no effect (0.237 <0.05) on Employee Performance. (5) Job satisfaction has a positive and significant effect (0.004 <0.05) on employee performance. (6) Placement has an effect and significant (0.035 <0.05) on Employee Performance through Job Satisfaction. (7) Work Environment has a positive and significant effect (0.012 <0.05) on Employee Performance through Job Satisfaction. (8) The contribution of placement and work environment variables to employee performance is 0.865 or 86.5% and the remaining 13.5% is influenced by other variables not examined in this study. (9) The contribution of placement, work environment and job satisfaction variables to employee performance is 0.871 or 87.1% and the remaining 12.9% is influenced by other variables not examined by this study.    

Human resources (HR) are very important in an organization, therefore every organization always strives to have quality human resources. Quality human resources in an organization will not work well. Human resources and the organization must have a mutually necessary relationship, the organization needs quality employees and the organization should pay attention to work aspects related to human resources. employee performance at the West Sumatra Province Civil Service Agency (BKD) has not yet reached the target. The research population is all employees. The sampling technique is a saturated sample obtained as many as 72 samples. The analysis tool used is Structural Equation Modeling (SEM). So the results of this study indicate that (1) work motivation has a positive and significant effect (0.162) on job satisfaction at the Regional Civil Service Agency of West Sumatra Province. (2) The work environment has a positive and significant effect (0.000) on job satisfaction at the Regional Civil Service Agency of West Sumatra Province. (3) Work motivation has a positive and significant effect (0.000) on employee performance at the West Sumatra Provincial Civil Service Agency. (4) Work environment has a positive and not significant effect (0.006) on employee performance at the Regional Civil Service Agency of West Sumatra Province. (5) Job satisfaction has a positive and significant effect (0.014) on employee performance at the Regional Civil Service Agency of West Sumatra Province. (6) Work motivation has a positive and significant effect (0.176) on employee performance through job satisfaction at the Regional Civil Service Agency of West Sumatra Province. (7) The work environment has a positive and significant effect (0.018) on employee performance through job satisfaction at the West Sumatra Provincial Civil Service Agency. (8) The contribution of work motivation and work environment variables to job satisfaction is 0.888 or 88.8% and the remaining 11.2% is influenced by other variables not examined in this study at the West Sumatra Provincial Civil Service Agency. (9) The contribution of competency, workload and job satisfaction variables to employee performance is 0.843 or 84.3% and the remaining 15.7% is influenced by other variables not examined by this study at the West Sumatra Provincial Civil Service Agency.      

This study aims to examine the Effect of Work Environment and Competence on Job Satisfaction with Work Experience as an Intervening Variable using secondary data obtained by distributing questionnaires to 47 permanent employees who are used as respondents at the Lubuk Kilangan Health Center.  In this study using the analysis tool Structural Equation Modeling (SEM) using Partial Least Square (PLS).  The results of this study indicate that (1) the work environment has a positive and significant effect (0.015 <0.05) on work experience.  (2) Competence has a positive and significant effect (0.00 <0.05) on work experience.  (3) Work Environment has no significant effect (0.056 > 0.05) on Job Satisfaction.  (4) Competence has a positive and significant effect (0.000 <0.05) on job satisfaction.  (5) Work Experience has a positive and significant effect (0.000 <0.05) on Job Satisfaction.  (6) Work environment has a positive and significant effect (0.011 <0.05) on job satisfaction through work experience.  (7) Competence has a positive and significant effect (0.000 <0.05) on job satisfaction through work experience.  (8) The contribution of work environment and competency variables to job satisfaction is 0.981 or 98.1% and the remaining 1.9% is influenced by other variables not examined in this study.  (9) The contribution of work environment variables, competence and work experience to job satisfaction is 0.900 or 90.0% and the remaining 1% is influenced by other variables not examined by this study.    

The Bhina ​​Tunas Bhakti Juwana Vocational School IT team is a unit team at Bhina ​​Tunas Bhakti Juwana Vocational School which has the task of managing media and everything related to IT. With current reporting techniques, reporting problems is still relatively slow and has an impact on the IT team's slow resolution of complaints from units or rooms experiencing problems. Therefore, the author has the initiative to build an IT Complaint Service System at Bhina ​​Tunas Bhakti Juwana Vocational School. This system is designed to provide reporting, monitoring and IT problem solving services in the school environment. The research methodology used is a qualitative method that uses observation, interview and literature study techniques in data collection. In designing the system, it refers to an object-oriented approach, so UML (Unified Modeling Language) is used. The output of this research will be a website-based IT complaint service system implemented at Bhina ​​Tunas Bhakti Juwana Vocational School.

This research aims to test how much influence Product Quality and Location have on Impulse Buying with Purchasing Decisions as an Intervening Variable for Bana Central Park Ujung Gading Consumers. The data collection method is through surveys and distributing questionnaires, with unknown population size, and determining a sample of 97 respondents obtained from the Concran Sugiyono formula. The analytical method used is Structural Equation Modeling (SEM) using SmartPLS 3.0. The research results obtained show that there is a significant positive influence of product quality on purchasing decisions. There is a significant positive influence of location on purchasing decisions. There is a significant positive influence on product quality on Impulse Buying. There is an insignificant positive effect of location on impulse buying. There is a significant positive influence of Product Quality on Impulse Buying through Purchasing Decisions. There is a significant positive influence of location on impulse buying through purchasing decisions.

Background: The workplace function of nurses is an important thing that must be paid attention to by hospitals. Nurses certainly have an important function in their work in terms of health services. Employees should be able to adapt and be respected in their work environment. However, some people experience problems adapting to their work environment, resulting in low performance. Nurses' decreased function at work due to high workloads makes it difficult to control one's own behavior. This results in the implementation of the work not being optimal.Objective: This study was conducted to examine the factors that influence workplace function in nurses Method: This research is a quantitative research with a survey design. Research data was collected using a questionnaire from respondents who work as nurses in hospitals. The sampling technique used purpose sampling technique and the sample size was 200 nurses. This research uses SEM (Structural Equation Modeling) analysis using AMOS and regression analysis using SPSS. Results: Based on the results of the analysis that has been carried out, the research results show: self-regulation capacity has a significant effect on functioning at work, self-regulation capacity has a significant effect on self-destruction, self-regulation capacity has a significant effect on job craftsmanship, self-destruction has a significant effect on functioning at work. workplace, work craft has a significant influence on function in the workplace. Burnout does not moderate the relationship between self-regulatory capacity and functioning at work so it does not have a significant influence. Conclusion: Increased functioning in the workplace for nurses is influenced by optimal self regulation capacity in nurses, self-destruction which can be increasingly minimized, work craftsmanship which increases in nurses.

The traditional food and beverage industry in Medan, Indonesia, is undergoing significant changes as Industry 5.0 technology becomes more integrated. This research explores the impact of this transformation through data analysis from 143 traditional culinary businesses. The focus is on evaluating the extent to which Industry 5.0 has been adopted, identifying factors that drive or hinder its adoption, and analyzing how this affects business operations and customer experiences. We utilized Structural Equation Modeling with Partial Least Squares (SEM-PLS) to examine the relationship between business characteristics, workforce readiness, Industry 5.0 adoption, and its implications for operational and customer experiences. We used descriptive statistics to understand demographic and technological profiles, while measurement model evaluation demonstrated the validity and reliability of our survey. Path analysis and bootstrap analysis were employed to confirm relationships, while fit model evaluation, R², and Q² provided insights into overall model robustness. Our findings contribute to academic knowledge, provide guidance for business owners in making strategic decisions, and establish standards for future research on Industry 5.0 adoption in the traditional sector.

The field of architecture has undergone rapid development within both academic and professional circles. Digital architecture, a concise term describing the use of communication and information technology in the entire planning and design process, has significantly influenced architectural education worldwide. It serves as a means to bridge the quality gap between architectural education in developed and developing countries. In Indonesia, digital architecture has been a subject of debate since its inception, garnering both proponents and opponents. Many still hold the belief that computers are merely new tools, akin to drawing instruments, for architects. However, the current progress reveals the availability of numerous computer modeling programs that support architectural design. These programs enable the visualization of building conditions before construction, becoming commonplace tools in consultancy firms and educational institutions, embraced by both lecturers and students. Consequently, the impact of information technology on the evolution of the architectural world is evident. The growing reliance on digital modeling programs in architectural design demonstrates a paradigm shift. This technological influence extends beyond individual buildings to encompass urban modeling, both in physical and non-physical aspects. Therefore, it is understood that the influence of information technology will continue to grow in the architectural realm, with digital programs playing a pivotal role in supporting the building design process.